Fuzzy weak autocatalytic set for decision making and its application to the project manager selection

In decision-making procedures, the comparison of alternatives is often necessary to determine the most suitable option among a set of choices. One commonly used approach is pairwise comparison, where each alternative is compared to every other alternative based on certain criteria. FWACS method offe...

詳細記述

書誌詳細
出版年:International Journal of Mathematics in Operational Research
第一著者: 2-s2.0-85218914221
フォーマット: 論文
言語:English
出版事項: Inderscience Publishers 2025
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218914221&doi=10.1504%2fIJMOR.2025.144550&partnerID=40&md5=5c1a489ca2e780fdbf2525a04ab10454
その他の書誌記述
要約:In decision-making procedures, the comparison of alternatives is often necessary to determine the most suitable option among a set of choices. One commonly used approach is pairwise comparison, where each alternative is compared to every other alternative based on certain criteria. FWACS method offers a way to represent the pairwise comparisons of alternatives as a directed graph with fuzzy edges. The FWACS is a technique used to address problems involving multiple criteria. In this study, a new ranking approach using FWACS is implemented on a previously published MCDM problem. The purpose of this implementation is to showcase the effectiveness of the FWACS method in addressing decision problems that involve multiple criteria. Copyright © 2025 Inderscience Enterprises Ltd.
ISSN:17575850
DOI:10.1504/IJMOR.2025.144550